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COVID-19 Dashboard: Early warning system for undetected SARS-CoV-2 infection and disease progression to severe COVID-19

  • Funded by Swiss National Science Foundation (SNSF)
  • Total publications:0 publications

Grant number: 52441.1 IP-LS

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Key facts

  • Disease

    COVID-19

  • Start & end year

    2021
    2022

  • Known Financial Commitments (USD)

    $412,556.9

  • Funder

    Swiss National Science Foundation (SNSF)

  • Principal Investigator

    Emanuela Keller

  • Research Location

    Switzerland

  • Lead Research Institution

    N/A

  • Research Priority Alignment

    N/A

  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Diagnostics

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

The false-negative rate of SARS-CoV-2 testing is up to 38%. Virus transmission occurs among hospitalized patients and medical staff. Predictive models are developed including biomarkers and high-resolution data from biosignals to provide a more accurate diagnosis and live prognosis of COVID-19.